Write down the Lagrange form of the interpolating polynomial P(x) that satisfies P(x) = f(x) for x = = 1,...,n and x1 < x2 < · · · < xn• (1) Find the form of the polynomial that interpolates f(x) = 1 through the points x = x1 = 0.5, x2 = 1 and x3 = 3, then simplify it. Use this polynomial to estimate the value of ƒ (2) and find the error from the actual value.
Write down the Lagrange form of the interpolating polynomial P(x) that satisfies P(x) = f(x) for x = = 1,...,n and x1 < x2 < · · · < xn• (1) Find the form of the polynomial that interpolates f(x) = 1 through the points x = x1 = 0.5, x2 = 1 and x3 = 3, then simplify it. Use this polynomial to estimate the value of ƒ (2) and find the error from the actual value.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Question
![Write down the Lagrange form of the interpolating polynomial P(x) that satisfies
P(x) = f(x) for x =
=
1, ...,
n and x1 < x2 < · · ·
< xn⋅
(1)
Find the form of the polynomial that interpolates f(x) = 1½ through the points
x₁ = 0.5, x2 = 1 and x3 3, then simplify it. Use this polynomial to estimate the
value of ƒ (2) and find the error from the actual value.
=
Using the error formula for Lagrange interpolation,
n
f(x) = P(x) +
-
(2 – x)
dn f
dxn
(§), for some ε € (x1,xn),
(2)
i=1
find upper and lower bounds for the error in your estimate above. How does this
compare with the actual error?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7560de44-7bbe-4fed-b63a-532eb75ed369%2Fbf385fc5-a6d4-4231-bea1-9adabddb2df4%2Fhne5sz_processed.png&w=3840&q=75)
Transcribed Image Text:Write down the Lagrange form of the interpolating polynomial P(x) that satisfies
P(x) = f(x) for x =
=
1, ...,
n and x1 < x2 < · · ·
< xn⋅
(1)
Find the form of the polynomial that interpolates f(x) = 1½ through the points
x₁ = 0.5, x2 = 1 and x3 3, then simplify it. Use this polynomial to estimate the
value of ƒ (2) and find the error from the actual value.
=
Using the error formula for Lagrange interpolation,
n
f(x) = P(x) +
-
(2 – x)
dn f
dxn
(§), for some ε € (x1,xn),
(2)
i=1
find upper and lower bounds for the error in your estimate above. How does this
compare with the actual error?
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